Methods and systems for a all-in-one personal fashion coaching and assistance using artificial intelligence and peer-to-peer network databases

Abstract

A method and system for providing an all-in-one personal fashion coaching and assistance readily to be used on a communication device of a user are disclosed, which includes: (a) providing clothing fitness services use after receiving input images and personal parameters from users; (b) providing try-on services using the body model and measurements and input images of F&A items; (c) providing smart style services by matching input images of F&A items extracted from past and current fashion and apparel (F&A) image files exchanged in a peer-to-peer manner among users and sellers; (d) providing a recommendation services to users by finding fashion trends, stores, locations, and suitable discounted prices.

1 . A smart personal fashion coaching and assistance system, comprising:
 a plurality of end-user communication devices each having at least one user databases;   a plurality of seller communication devices each having at least one seller data storages;   a network operable to connect and enable said plurality of end-user communication devices and said plurality of seller communication devices to freely exchange past and current fashion and apparel (F&A) image files; and   an artificial intelligence (AI) based fashion server operable to provide body measurements, virtual try-on, mix and match fashion and apparel (F&A) articles recommendations, and store and discount recommendations said plurality of end-user communication devices using deep learning algorithms performed on said past and current fashion and apparel (F&A) image files; wherein said AI based fashion server further comprises:   an input load balancer operable to distribute incoming network traffics from said plurality of end-user communication devices and a plurality of seller communication devices to said AI-based fashion server;   an end-user system, coupled to said input load balancer, operable to authenticate said plurality of end-user communication devices;   an artificial intelligence (AI) service unit, coupled to said input load balancer and said end-user system, further comprising a body measurement module, a virtual try-on module, a smart style module, and a recommendation module;   at least one image databases, coupled to said end-user system and said AI service unit, operable to store input images to and from said plurality of end-user communication devices;   at least one replicate databases, coupled to said end-user system, operable to store said open records of said past and current fashion and apparel (F&A) image files exchanged in a peer-to-peer manner;   an output load balancer operable to efficiently distribute outgoing network traffics from said AI-based fashion server to said plurality of end-user communication devices and said plurality of seller communication devices;   an administrative management system, coupled to manage said input load balancer, said at least one replicate databases, said AI service unit, said output load balancer, and said end-user system;   a notification system; coupled to said end-user system and said administrative management system; operable to notify said plurality of end-user communication devices when said past and current fashion and apparel (F&A) image files are exchanged in said peer-to-peer manner; and   an operating system (OS), coupled to said administrative management system, operable to replicate, track, and provide securities to said open records of said past and current fashion and apparel (F&A) image files.   
     
     
         2 . The system of  claim 1  wherein said network connects plurality of end-user communication devices and said plurality of seller communication devices in a peer to peer manner. 
     
     
         3 . (canceled) 
     
     
         4 . The system of  claim 1  wherein said operating system further comprises:
 a application delivery controller (ADC) operable to monitor and manage incoming and outgoing network traffics of said AI-based fashion server; 
 a logging system operable to manage and keep tracks of log-ins of said plurality of end-user communication devices; and 
 a security tracking system operable to replicate, track, and provide said securities to said open records of said past and current fashion and apparel (F&A) image files. 
 
     
     
         5 . The system of  claim 4  wherein said plurality of user communication devices further comprises a smart phone, a smart camera, a tablet, a laptop, a virtual reality (VR) device, an augmented reality (AR) device, and a desktop computer. 
     
     
         6 . The system of  claim 4  wherein said network comprises an internet, a cloud network, a local area network (LAN), a wide area network (WAN), a Wi-Fi, a Bluetooth, a Zigbee, and a Near Field Communication (NFC) system. 
     
     
         7 . The system of  claim 4  wherein said body measurement module further comprises:
 a body part parsing unit operable to detect different body parts based on input images of a user; 
 a dense keypoint detector operable to detect features descriptive of each of said different body parts; 
 a sparse key point detector operable to detect outer shapes of each of said different body parts; 
 a two-dimension pivot keypoint detector operable to receive said dense keypoints, said sparse keypoints to detect locally descriptive features of each of said different body parts; 
 a three-dimensional pivot keypoint detector operable to receive said dense keypoints, said sparse keypoints, said 2D pivot keypoints, personal parameters to construct a 3D body measurement model for said user using a convolutional neural network regressive algorithm. 
 
     
     
         8 . The system of  claim 7  wherein said virtual try-on module further comprises:
 a fashion and apparel (F&A) segmentation unit operable to dissect different F&A units based on input images; 
 a dense keypoint detector unit operable to detect features descriptive of each of said different clothing units; 
 a sparse key point detector unit operable to detect outer shapes of each of said different clothing units; 
 a two-dimension pivot keypoint detector unit operable to receive said dense keypoints, said sparse keypoints to detect locally descriptive features of each of said different clothing units; 
 a three-dimensional pivot keypoint detector operable to receive said dense keypoints, said sparse keypoints, said 2D pivot keypoints, personal parameters to construct a 3D model for each of said different clothing units using said convolutional neural network regressive algorithm; and 
 a virtual try-on machine learning unit operable to map said 3D model for each of said different clothing units onto said 3D model and measurements for said user. 
 
     
     
         9 . The system of  claim 8  wherein said further comprises:
 a clothing style analysis unit operable to select different fashion and apparel (F&A) units based on a fashion collection of end-users; wherein said fashion collection is openly exchanged among said plurality of end-user communication devices and said plurality of seller communication devices in said peer-to-peer manner and extracted from said past and current fashion and apparel (F&A) image files; and 
 a display unit operable to display said different clothing units in accordance to said fashion collect of said end-users. 
 
     
     
         10 . The system of  claim 9  wherein said recommendation module further comprises:
 a fashion style and size matching unit operable to search for store locations and discounts for said different clothing units selected by said end-users; and 
 wherein said fashion style and size matching unit is configured to enter and collect fashion trends based on said past and current fashion and apparel (F&A) image files stored in said at least one replicate databases and a social media. 
 
     
     
         11 . (canceled) 
     
     
         12 . (canceled) 
     
     
         13 . (canceled) 
     
     
         14 . (canceled) 
     
     
         15 . (canceled) 
     
     
         16 . (canceled) 
     
     
         17 . (canceled) 
     
     
         18 . (canceled) 
     
     
         19 . (canceled) 
     
     
         20 . (canceled)